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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-hands-on-presto-course/
课程评论：没有评论
Coursera 课程《Hands On Presto Mastery - Learn by doing!》旨在帮助学员从零基础全面掌握 Presto。Presto 是一个高效的分布式查询引擎，特别擅长处理 PB 级大数据及低延迟分析。 本课程采用“边做边学”的方式，涵盖了 Presto 的方方面面。学员将从产品角度理解真实世界的数据问题及其用户痛点，然后从架构师角度设计基于 Presto 的解决方案。接着，在工程师角色的实践中，学员将学习如何安装和配置 Presto，包括其核心组件：协调器（coordinator）、工作节点（worker）以及各种连接器（connectors）。 课程强调 Presto 与大数据生态系统中其他项目的集成。为实现数据可视化，将配置 Presto CLI、RStudio 和 Tableau 等客户端。为支持数据存储，将设置 MySQL 数据库、Kafka 和 HDFS 等数据源，并强调 Presto 作为纯计算引擎不自带存储的特性。 最后，课程将通过演示展示如何在一个查询中联合来自多个数据源的数据，构建一个完整的端到端大数据解决方案，以解决最初识别出的用户痛点。完成本课程后，学员将对 Presto 充满信心，技能得到提升，为职业发展做好准备。
Welcome to my Presto course - Hands On Presto Mastery - Learn by doing!. I want to first of all thank you for considering this course. Without you the student, I will not be able to create this course.Big Data is very hot at the moment and Presto is one of the exciting projects in the Big Data ecosystem. Presto is a distributed query engine that excels at crunching petabytes of data efficiently and low latency analytics.This Presto course contains everything you need to get started with Presto. We will go from zero to Presto in this single course and back it up with a lot of hands on work. By the end of this course, you will be full of confidence, skilled up and ready to take your career to the next level. So let's buckle up and lean inIn this course, we will wear many hats as we solve an end to end Big Data problem:Product Hat: We will start with a real world scenario and dive into the user segments and pain points.Architect Hat: Once we understand the pain points, we will architect a Presto based solution to address those pain pointsEngineer Hat: Once we have that, we will then install and setup Presto. We will cover the fundamentals - coordinator, worker, connectors etc. Engineer Hat: One nice thing is that presto forces you to interact with other projects in the Big Data ecosystem.And so, to visualize data, we will setup clients like the Presto CLI, RStudio and Tableau.For storage, we will setup data sources like the MySQL DB, Kafka and HDFS. Presto is strictly a compute engine and this means that it does not have its own storage.Engineer Hat: Once we are done, we will demo the final product and show you how to join data from multiple data sources in a single query. At the end of this journey, we will deliver a solution that solves the pain points identified earlier.
